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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 16201
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.95
    =-=-=-=-
    -0.87
    Assembly
    -0.84
    izational
    -0.78
    Seattle
    -0.76
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    OA
    -0.71
    IU
    -0.71
    minster
    -0.71
    okane
    -0.70
    POSITIVE LOGITS
     forb
    1.07
    bidden
    0.92
     forbid
    0.88
     forbidden
    0.81
     forbids
    0.78
     confir
    0.76
     dared
    0.72
    tering
    0.72
    ptin
    0.71
    fully
    0.70
    Activations Density 0.010%

    No Known Activations